Mohammed Hassan

Mohammed Hassan, Mohamed Hamada, Nkiruka Bridget Odu, 2018, 2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).

State-of-the-Art Survey on Deep Learning-Based Recommender Systems for E-Learning

R. V. Prasad, Anish Mahendran, Y. Watanobe, 2022, Applied Sciences.

A Fuzzy-Based Approach and Adaptive Genetic Algorithm in Multi-Criteria Recommender Systems

Mohamed Hamada, Abdulsalam Latifat Ometere, Odu Nkiruka Bridget, 2019, Advances in Science, Technology and Engineering Systems Journal.

Artificial Neural Networks and Particle Swarm Optimization Algorithms for Preference Prediction in Multi-Criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2018, Informatics.

Adaptive Genetic Algorithm for Improving Prediction Accuracy of a Multi-Criteria Recommender System

Mohammed Hassan, Mohamed Hamada, Abdulsalam Latifat, 2018, MCSoC.

Performance Comparison of Feed-Forward Neural Networks Trained with Different Learning Algorithms for Recommender Systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2017, Comput..

Smart media-based context-aware recommender systems for learning: A conceptual framework

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2017, 2017 16th International Conference on Information Technology Based Higher Education and Training (ITHET).

Performance Comparison of Featured Neural Network Trained with Backpropagation and Delta Rule Techniques for Movie Rating Prediction in Multi-criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2016, Informatica.

Recommending Learning Peers for Collaborative Learning through Social Network Sites

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2016, 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS).

An LDA–SVM Machine Learning Model for Breast Cancer Classification

Mohammed Hassan, Mohammed Hamada, Jesse Jeremiah Tanimu, 2022, BioMedInformatics.

Evaluating the performance of a neural network-based multi-criteria recommender system

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2019, International Journal of Spatio-Temporal Data Science.

Research paper recommender system based on public contextual metadata

Mohammed Hassan, Haruna Chiroma, Maizatul Akmar Ismail, 2020, Scientometrics.

Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction

Mohamed Hamada, Mohammed Hassan, Jesse Jeremiah Tanimu, 2021, 2021 IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).

A Contemporary Machine Learning Method for Accurate Prediction of Cervical Cancer

Mohammed Hassan, Mohamed Hamada, Saratu Yusuf Ilu, 2021, SHS Web of Conferences.

Genetic Algorithm Approaches for Improving Prediction Accuracy of Multi-criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2018, Int. J. Comput. Intell. Syst..

A Computational Model for Improving the Accuracy of Multi-criteria Recommender Systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2017, 2017 IEEE 11th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC).

Enhancing learning objects recommendation using multi-criteria recommender systems

Mohammed Hassan, Mohamed Hamada, Mohamed Hamada, 2016, 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE).

An Intelligent Plant Disease Detection System for Smart Hydroponic using Convolutional Neural Network Presented by

Aminu Musa, Mohammed Hassan, F. Aliyu, 2021 .